EP 3693926 A3 20201007 - DENSE BODY MARKER ESTIMATION FROM CAMERA DATA FOR PATIENT POSITIONING IN MEDICAL IMAGING
Title (en)
DENSE BODY MARKER ESTIMATION FROM CAMERA DATA FOR PATIENT POSITIONING IN MEDICAL IMAGING
Title (de)
SCHÄTZUNG VON DICHTEN KÖRPERMARKERN AUS KAMERADATEN ZUR PATIENTENPOSITIONIERUNG IN DER MEDIZINISCHEN BILDGEBUNG
Title (fr)
ESTIMATION DE MARQUEUR DE CORPS DENSES À PARTIR DE DONNÉES DE CAMÉRA POUR LE POSITIONNEMENT DE PATIENTS EN IMAGERIE MÉDICALE
Publication
Application
Priority
US 201916269732 A 20190207
Abstract (en)
Machine learning is used to train a network to estimate a three-dimensional (3D) body surface and body regions of a patient from surface images of the patient. The estimated 3D body surface of the patient is used to determine an isocenter of the patient. The estimated body regions are used to generate heatmaps representing visible body region boundaries and unseen body region boundaries of the patient. The estimation of 3D body surfaces, the determined patient isocenter, and the estimated body region boundaries may assist in planning a medical scan, including automatic patient positioning.
IPC 8 full level
CPC (source: CN EP US)
A61B 5/0077 (2013.01 - US); A61B 5/015 (2013.01 - US); A61B 5/107 (2013.01 - US); A61B 5/704 (2013.01 - US); A61B 5/7264 (2013.01 - US); A61B 5/7267 (2013.01 - US); A61B 6/035 (2013.01 - CN); A61B 6/0492 (2013.01 - EP); A61B 6/544 (2013.01 - CN); A61B 6/584 (2013.01 - CN); G06T 7/40 (2013.01 - US); G06T 7/55 (2017.01 - EP); G06T 7/66 (2017.01 - CN US); G06T 7/70 (2017.01 - CN EP); G06T 17/00 (2013.01 - CN); A61B 6/032 (2013.01 - EP); A61B 6/037 (2013.01 - EP); A61N 2005/1059 (2013.01 - EP); G06T 2207/10016 (2013.01 - EP); G06T 2207/10024 (2013.01 - EP US); G06T 2207/10028 (2013.01 - EP US); G06T 2207/10048 (2013.01 - US); G06T 2207/10081 (2013.01 - CN EP); G06T 2207/10088 (2013.01 - CN); G06T 2207/10104 (2013.01 - CN); G06T 2207/10108 (2013.01 - CN); G06T 2207/20081 (2013.01 - EP US); G06T 2207/20084 (2013.01 - EP US); G06T 2207/30004 (2013.01 - CN EP US); G06T 2207/30196 (2013.01 - CN EP)
Citation (search report)
- [IAY] US 2016306924 A1 20161020 - SINGH VIVEK KUMAR [US], et al
- [A] US 2017035374 A1 20170209 - SCHÄFER DIRK [DE], et al
- [Y] US 2018228460 A1 20180816 - SINGH VIVEK KUMAR [US], et al
- [Y] D. LIU ET AL: "Real-time 3D image guided patient positioning in radiation therapy", PROC. OF SPIE, vol. 605613, 1 January 2006 (2006-01-01), pages 605613-1 - 605613-7, XP040217457
- [Y] SINGH VIVEK ET AL: "DARWIN: Deformable Patient Avatar Representation With Deep Image Network", 4 September 2017, 12TH EUROPEAN CONFERENCE ON COMPUTER VISION, ECCV 2012; [LECTURE NOTES IN COMPUTER SCIENCE], SPRINGER BERLIN HEIDELBERG, BERLIN, HEIDELBERG, PAGE(S) 497 - 504, ISBN: 978-3-642-36948-3, ISSN: 0302-9743, XP047528084
- [Y] YADATI PRAMOD ET AL: "Multiscale two-view stereo using convolutional neural networks for unrectified images", 2017 FIFTEENTH IAPR INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS (MVA), MVA ORGANIZATION, 8 May 2017 (2017-05-08), pages 346 - 349, XP033126598, DOI: 10.23919/MVA.2017.7986872
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
DOCDB simple family (publication)
EP 3693926 A2 20200812; EP 3693926 A3 20201007; CN 111557665 A 20200821; CN 111557665 B 20230829; CN 117017328 A 20231110; US 11748899 B2 20230905; US 11972585 B2 20240430; US 2020258243 A1 20200813; US 2023368404 A1 20231116
DOCDB simple family (application)
EP 20155389 A 20200204; CN 202010082463 A 20200207; CN 202310993014 A 20200207; US 201916269732 A 20190207; US 202318348407 A 20230707